Fast discrimination of hydroxypropyl methyl cellulose using portable Raman spectrometer and multivariate methods
- 1. Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)
- 2. The Second Military Medical University, Shanghai 200433 (China)
- 3. Shanghai Institute for Food and Drug Control, Shanghai 201203 (China)
Description
Raman spectroscopy is developed as a fast and non-destructive method for the discrimination and classification of hydroxypropyl methyl cellulose (HPMC) samples. 44 E series and 41 K series of HPMC samples are measured by a self-developed portable Raman spectrometer (Hx-Raman) which is excited by a 785 nm diode laser and the spectrum range is 200–2700 cm−1 with a resolution (FWHM) of 6 cm−1. Multivariate analysis is applied for discrimination of E series from K series. By methods of principal components analysis (PCA) and Fisher discriminant analysis (FDA), a discrimination result with sensitivity of 90.91% and specificity of 95.12% is achieved. The corresponding receiver operating characteristic (ROC) is 0.99, indicting the accuracy of the predictive model. This result demonstrates the prospect of portable Raman spectrometer for rapid, non-destructive classification and discrimination of E series and K series samples of HPMC. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1555-6611/aa4ffcAdditional details
Identifiers
Publishing Information
- Journal Title
- Laser Physics (Online)
- Journal Volume
- 27
- Journal Issue
- 2
- Journal Page Range
- [5 p.]
- ISSN
- 1555-6611
INIS
- Country of Publication
- Russian Federation
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49083696
- Subject category
- S36: MATERIALS SCIENCE; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- ACCURACY; CELLULOSE; CLASSIFICATION; LASERS; MULTIVARIATE ANALYSIS; RAMAN SPECTROSCOPY; RESOLUTION; SENSITIVITY; SPECIFICITY; SPECTRA
- Descriptors DEC
- CARBOHYDRATES; LASER SPECTROSCOPY; MATHEMATICS; ORGANIC COMPOUNDS; POLYSACCHARIDES; SACCHARIDES; SPECTROSCOPY; STATISTICS